Noeud « Next »: Advise, Noeud « Previous »: Genetic Map Table, Noeud « Up »: Overview

#### 2.1.4 QTL Table

As for GLMdb the QTL database consists of as many plain text files as the number of mapping experiments described in the experiment table. Each file must respect the same naming convention as for GLMdb, i.e the stem name of the file must be the name of the corresponding mapping experiment as defined in the map field of the experiment table. Thus if QTL detection result have been obtained for the mapping experiments `exp1` we will have a exp1.qtl file (for the QTL results) and a exp1.map (for the genetic linkage map used to map the QTL). Each file of QTLdb must contain the following fields:

- group (string) : the linkage group name.
- qtl (string) : the name of the QTL.
- position (numeric) : the most probable position of the QTL on the linkage group.
- qtl.trait.name(string): the name of the trait for which this QTL has been detected.
- qtl.ic.from (numeric) : the lower bound of the CI of the QTL position.
- qtl.ic.to (numeric) : the upper bound of the CI of the QTL position.
- qtl.ic.lod.decrease(numeric): if the CI is based on a LOD support used this field to define the decrease of LOD which was used to build the CI.
- qtl.rsquare(numeric): the estimated r-square of the QTL.
- qtl.cross.name(string): the name of the cross used to carry out the QTL mapping.
- qtl.cross.type(string): the type of the cross used to carry out the QTL mapping.
- qtl.cross.size(integer): the size of the cross used to carry out the QTL mapping.

The fields in bold are required while those in italic are optional.

         group  locus  position  type  qtl.ic.lod.decrease  qtl.ic.from  qtl.ic.to  qtl.rsquare \
         qtl.effect.addtive  qtl.trait.name
         1  QTL1  208  Q  1  182  236  0.044  days_to_pollen
         1  QTL2  152  Q  1  128  174  0.045  anthesis_silking
         2  QTL3  74   Q  1  58   88   0.051  anthesis_silking
         2  QTL4  126  Q  1  110  140  0.048  days_to_silk
         3  QTL6  36   Q  1  18   46   0.093  kernel_weight
         2  QTL5  76   Q  1  60   92   0.061  kernel_weight